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dc.contributor.advisorVassileva, Julitaen_US
dc.creatorMohkami, Mohsenen_US
dc.date.accessioned2015-08-22T12:00:20Z
dc.date.available2015-08-22T12:00:20Z
dc.date.created2015-07en_US
dc.date.issued2015-08-21en_US
dc.date.submittedJuly 2015en_US
dc.identifier.urihttp://hdl.handle.net/10388/ETD-2015-07-2141en_US
dc.description.abstractIn online shopping buyers do not have enough information about sellers and cannot inspect the products before purchasing them. To help buyers find reliable sellers, online marketplaces deploy Trust and Reputation Management (TRM) systems. These systems aggregate buyers’ feedback about the sellers they have interacted with and about the products they have purchased, to inform users within the marketplace about the sellers and products before making purchases. Thus positive customer feedback has become a valuable asset for each seller in order to attract more business. This naturally creates incentives for cheating, in terms of introducing fake positive feedback. Therefore, an important responsibility of TRM systems is to aid buyers find genuine feedback (reviews) about different sellers. Recent TRM systems achieve this goal by selecting and assigning credible advisers to any new customer/buyer. These advisers are selected among the buyers who have had experience with a number of sellers and have provided feedback for their services and goods. As people differ in their tastes, the buyer feedback that would be most useful should come from advisers with similar tastes and values. In addition, the advisers should be honest, i.e. provide truthful reviews and ratings, and not malicious, i.e. not collude with sellers to favour them or with other buyers to badmouth some sellers. Defining the boundary between dishonest and honest advisers is very important. However, currently, there is no systematic approach for setting the honesty threshold which divides benevolent advisers from the malicious ones. The thesis addresses this problem and proposes a market-adaptive honesty threshold management mechanism. In this mechanism the TRM system forms a feedback system which monitors the current status of the e-marketplace. According to the status of the e-marketplace the feedback system improves the performance utilizing PID controller from the field of control systems. The responsibility of this controller is to set the the suitable value of honesty threshold. The results of experiments, using simulation and real-world dataset show that the market-adaptive honesty threshold allows to optimize the performance of the marketplace with respect to throughput and buyer satisfaction.en_US
dc.language.isoengen_US
dc.subjectCredibility mechanismen_US
dc.subjectHonesty Thresholden_US
dc.subjectMulti-agent systemsen_US
dc.subjectTrust modelingen_US
dc.subjectE-commerceen_US
dc.titleDynamic Credibility Threshold Assignment in Trust and Reputation Mechanisms Using PID Controlleren_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US
dc.contributor.committeeMemberDeters, Ralphen_US
dc.contributor.committeeMemberRoy, Chanchalen_US
dc.contributor.committeeMemberChen, Lien_US


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